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Numerical Study on the Blade Channel Vorticity in a Francis Turbine

Zhiqi Zhou*

Yellow River Conservancy Technical Institute, Kaifeng, 475003, China

* Corresponding Author: Zhiqi Zhou. Email: email

Fluid Dynamics & Materials Processing 2021, 17(6), 1091-1100. https://doi.org/10.32604/fdmp.2021.016618

Abstract

A relevant way to promote the sustainable development of energy is to use hydropower. Related systems heavily rely on the use of turbines, which require careful analysis and optimization. In the present study a mixed experimental-numerical approach is implemented to investigate the related mixed water flow. In particular, particle image velocimetry (PIV) is initially used to verify the effectiveness of the numerical model. Then numerical results are produced for various conditions. It is shown that an increase in the guide vane opening can reduce the extension of the region where the fluid velocity is 0 at the inlet of the runner blade, i.e., it can counteract the generation of the channel vortex; an increase in the guide vane opening also contributes to mitigate the pressure acting on the runner blade; no matter what the working conditions are, the surface pressure is usually higher than that on the suction surface, and there is a cliff-like drop of pressure at the tail of the blade, which indicates that the runner blade tail is more prone to develop backflow.

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Cite This Article

APA Style
Zhou, Z. (2021). Numerical study on the blade channel vorticity in a francis turbine. Fluid Dynamics & Materials Processing, 17(6), 1091-1100. https://doi.org/10.32604/fdmp.2021.016618
Vancouver Style
Zhou Z. Numerical study on the blade channel vorticity in a francis turbine. Fluid Dyn Mater Proc. 2021;17(6):1091-1100 https://doi.org/10.32604/fdmp.2021.016618
IEEE Style
Z. Zhou, “Numerical Study on the Blade Channel Vorticity in a Francis Turbine,” Fluid Dyn. Mater. Proc., vol. 17, no. 6, pp. 1091-1100, 2021. https://doi.org/10.32604/fdmp.2021.016618



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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